Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseOpenClawOpenClaw+21 more

    openclaw n8n orchestrator

    1

    Deploy and orchestrate local OpenClaw agents and n8n workflows via Docker on Ubuntu Server.

    $15

    Secure checkout via Stripe

    30-day refund guarantee

    Converts to your local currency at checkout

    0 installsSecurity scanned
    openclaw n8n orchestrator

    openclaw n8n orchestrator

    Example session with this skill installed

    I need to set up n8n and OpenClaw on my local Ubuntu mini-PC. Can you give me a Docker Compose file that ensures they can talk to each other securely and keeps my data if the containers restart?

    • Read your context and instructions
    • Compiled the openclaw n8n orchestrator

    I have generated a unified Docker Compose configuration optimized for your Ubuntu environment. This setup uses an internal bridge network so the containers can communicate without exposing OpenClaw to your entire local network, and it maps persistent volumes to prevent data loss.

    Local Automation Stack Deployment

    version: '3.8'

services:
  n8n:
    image: docker.n8n.io/n8nio/n8n:latest
    container_name: n8n_automation
    restart: unless-stopped
    ports:
      - "5678:5678"
    environment:
      - N8N_HOST=localhost
      - N8N_PORT=5678
      - N8N_PROTOCOL=http
      - NODE_ENV=production
      - WEBHOOK_URL=http://localhost:5678/
      - GENERIC_TIMEZONE=UTC
    volumes:
      - ~/.n8n:/home/node/.n8n
    networks:
      - automation_bridge
    deploy:
      resources:
        limits:
          memory: 2G

  openclaw:
    image: openclaw/agent:latest
    container_name: openclaw_agent
    restart: unless-stopped
    env_file:
      - .env
    ports:
      - "8000:8000"
    volumes:
      - ./openclaw_data:/app/data
    networks:
      - automation_bridge
    depends_on:
      - n8n
    deploy:
      resources:
        limits:
          memory: 1G

networks:
  automation_bridge:
    driver: bridge

volumes:
  n8n_data:
  openclaw_data:

    Configuration Details

    ComponentValuePurpose
    Networkautomation_bridgeInternal container-to-container communication.
    Restart Policyunless-stoppedEnsures persistence after server reboots or crashes.
    n8n Volume~/.n8nLocal path for workflows and credential storage.
    OpenClaw Volume./openclaw_dataStorage for agent memory and configuration files.
    Resource Limits3GB TotalPrevents the AI stack from locking up the Ubuntu host.

    Next steps

    1. Create a .env file in the same directory to store your LLM API keys for OpenClaw.
    2. Run docker-compose up -d to pull images and start the services in detached mode.
    3. Access n8n at http://localhost:5678 to begin building your first webhook trigger.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Deploy a unified Docker stack for n8n and OpenClaw agents.Configure secure internal container networking for AI webhooks.Implement resource limits for homelab hardware stability.Build error-handling pipelines for LLM API timeouts in n8n.

    About this skill

    The problem

    Self-hosting autonomous agents and workflow engines on local hardware often leads to resource exhaustion, data loss during updates, and messy networking between containers. Managing the communication between n8n and OpenClaw agents requires precise environment configuration and robust error handling that standard tutorials ignore.

    What it does

    • Generates production-ready docker-compose.yml files optimized for Ubuntu Server and homelab hardware.
    • Configures secure internal networking between n8n webhooks and OpenClaw API endpoints.
    • Sets up persistent volume mapping and restart policies to ensure local automation remains stable.
    • Provides JSON payload structures for reliable data exchange between the workflow engine and the AI agent.
    • Implements resource limits and environment variable security to protect host stability.

    Frameworks & tools

    n8n, OpenClaw, Docker, Docker Compose, Ubuntu Server, PM2, and Nginx for reverse proxying.

    Why this beats prompting it yourself

    Generic LLMs often provide outdated Docker syntax or expose security risks by hardcoding keys and opening unnecessary ports. This skill enforces strict local-first architecture, ensuring your agents don't crash your server or lose their memory during a reboot.

    Use cases

    • Deploying a self-hosted AI research pipeline using OpenClaw and n8n.
    • Configuring local webhooks to trigger agentic tasks from internal tools.
    • Optimizing Docker resource allocation for low-power mini-PCs or laptops.
    • Building an error-tolerant automation stack with n8n catch nodes for LLM failures.

    Known limitations

    Focuses specifically on Ubuntu Server environments. Does not provide public cloud-specific orchestration like Kubernetes or AWS ECS.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    30-day refund

    Not a fit? Get your money back

    Trust & safety

    Security scanned

    Verified clean 6 days ago

    • Passed all security checks, Safe to install

    Listed6 days ago

    What's inside

    Frequently Asked Questions